【网络爬虫】点触验证码的识别

crack.py

import time
from io import BytesIO
from PIL import Image
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from chaojiying import Chaojiying

EMAIL = '[email protected]'
PASSWORD = 'zhaoxueche110'

CHAOJIYING_USERNAME = 'Azure00'
CHAOJIYING_PASSWORD = 'zhaoxueche110'
CHAOJIYING_SOFT_ID = '    897082'
CHAOJIYING_KIND = '9102'

class CrackTouClick():
    def __init__(self):
        self.url = 'http://admin.touclick.com/login.html'
        self.browser = webdriver.Chrome()
        self.wait = WebDriverWait(self.browser, 20)
        self.email = EMAIL
        self.password = PASSWORD
        self.chaojiying = Chaojiying(CHAOJIYING_USERNAME, CHAOJIYING_PASSWORD, CHAOJIYING_SOFT_ID)

    def __del__(self):
        self.browser.close()

    def open(self):
        """
        打开网页输入用户名密码
        :return: None
        """
        self.browser.get(self.url)
        email = self.wait.until(EC.presence_of_element_located((By.ID, 'email')))
        password = self.wait.until(EC.presence_of_element_located((By.ID, 'password')))
        email.send_keys(self.email)
        password.send_keys(self.password)

    def get_touchclick_button(self):
        """
        获取初始验证按钮
        :return:
        """
        button = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'touclick-hod-wrap')))
        return button

    def get_touch_element(self):
        """
        获取验证图片对象
        :return: 图片对象
        """
        element = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'touclick-pub-content')))
        return element

    def get_position(self):
        """
        获取验证码位置
        :return: 验证码位置元组
        """
        element = self.get_touch_element()
        time.sleep(2)
        location = element.location
        size = element.size
        top, bottom, left, right = location['y'], location['y'] + size['height'], location['x'], location['x'] + size['width']
        return (top, bottom, left, right)

    def get_screenshot(self):
        """
        获取网页截图
        :return: 截图对象
        """
        screenshot = self.browser.get_screenshot_as_png()
        screenshot = Image.open(BytesIO(screenshot))
        return screenshot

    def get_touch_click_image(self, name= 'captcha.png'):
        """
        获取验证码图片
        :param name:图片对象
        :return:
        """
        top, bottom, left, right = self.get_position()
        print('验证码位置', top, bottom, left, right)
        screenshot = self.get_screenshot()
        captcha = screenshot.crop((left, top, right, bottom))
        captcha.save(name)
        return captcha

    def get_points(self, captcha_result):
        """
        解析识别结果
        :param captcha_result:识别结果
        :return: 转化后的结果
        """
        groups = captcha_result.get('pic_str').split('|')
        locations = [[int(number) for number in group.split(',')] for group in groups]
        return locations

    def touch_click_words(self, locations):
        """
        点击验证图片
        :param locations:点击位置
        :return: None
        """
        for location in locations:
            print(location)
            ActionChains(self.browser).move_to_element_with_offset(self.get_touclick_element(), location[0], location[1]). click().perform()
            time.sleep(1)

    def touch_click_verify(self):
        """
        点击验证按钮
        :return: None
        """
        button = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'touclick-pub-submit')))
        button.click()

    def login(self):
        """
        登陆
        :return:None
        """
        submit = self.wait.until(EC.element_to_be_clickable((By.ID, '_submit')))
        submit.click()
        time.sleep(10)
        print("登陆成功")

    def crack(self):
        """
        破解入口
        :return:None
        """
        # 点击验证按钮
        button = self.get_touchclick_button()
        button.click()
        # 获取验证码图片
        image = self.get_touch_click_image()
        bytes_array = BytesIO()
        image.save(bytes_array, format='PNG')
        # 识别验证码
        result = self.chaojiying.post_pic(bytes_array.getvalue(), CHAOJIYING_KIND)
        print(result)
        locations = self.get_points(result)
        self.touch_click_words(locations)
        self.touch_click_verify()
        # 判定是否成功
        success = self.wait.until(EC.text_to_be_present_in_element((By.CLASS_NAME, "touchlick_hod_note"), '验证成功'))
        print(success)

        # 失败后重试
        if not success:
            self.crack()
        else:
            self.login()

if __name__ == '__main__':
    crack = CrackTouClick()
    crack.crack()

chaojiying.py

# coding:utf-8

import requests
from hashlib import md5


class Chaojiying(object):

    def __init__(self, username, password, soft_id):
        self.username = username
        self.password = md5(password.encode('utf-8')).hexdigest()
        self.soft_id = soft_id
        self.base_params = {
            'user': self.username,
            'pass2': self.password,
            'softid': self.soft_id,
        }
        self.headers = {
            'Connection': 'Keep-Alive',
            'User-Agent': 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)',
        }
        

    def post_pic(self, im, codetype):
        """
        im: 图片字节
        codetype: 题目类型 参考 http://www.chaojiying.com/price.html
        """
        params = {
            'codetype': codetype,
        }
        params.update(self.base_params)
        files = {'userfile': ('ccc.jpg', im)}
        r = requests.post('http://upload.chaojiying.net/Upload/Processing.php', data=params, files=files, headers=self.headers)
        return r.json()

    def report_error(self, im_id):
        """
        im_id:报错题目的图片ID
        """
        params = {
            'id': im_id,
        }
        params.update(self.base_params)
        r = requests.post('http://upload.chaojiying.net/Upload/ReportError.php', data=params, headers=self.headers)
        return r.json()

问题：

网站无法访问。

 

参考资料：

网络爬虫实战，崔庆才著

Python爬虫学习笔记之点触验证码的识别